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Lead application Adaptive edge AI systems for industrial application

Based on our research, it will be possible to integrate artificial intelligence directly into the sensor and thus derive decisions in real time without detouring via the cloud. The automated adaptation to new environmental conditions can open up versatile fields of application.

These solutions can be used to detect fault conditions or wear directly in the process or to implement measurement systems for maintenance that enable direct evaluation based on the sensor data. This makes an active contribution to the conservation of resources (computing time, communication overhead).

Contact

Contact

Dr.-Ing. Tino Hutschenreuther

Head of System Design

tino.hutschenreuther(at)imms.de+49 (0) 3677 874 93 40

Dr. Tino Hutschenreuther will answer your questions on our research in Smart distributed measurement and test systems and the related core topics Analysis of distributed IoT systems, Embedded AI and Real-time data processing and communications, on the lead applications Adaptive edge AI systems for industrial application and IoT systems for cooperative environmental monitoring as well as on the range of services for the development of embedded systems.

Related content


Project

Trib.US

IMMS develops real-time capable platform and algorithms for mobile multi-sensor inspection device for conveyor belt maintenance

Project

thurAI

In thurAI, IMMS is working on sensor technology for SmartCity and methods to intelligently process data in the network for AI evaluations.

Project

KIQ

IMMS has developed an AI-based, retrofittable and cost-effective solution for quality assurance of machining tools.

Project

sUSe

To use compressed air for industrial processes in an energy-efficient way, IMMS has developed the electronics platform for an automatable sensor solution.

Reference

Prof. Dr. Peter Holstein, SONOTEC GmbH

“IMMS has designed the digital components of the hardware to be used in our new digital ultrasonic testing device. The signal processing performance achieved is largely based on FPGA technology, a field in which IMMS has excellent references. Our joint work with IMMS went off perfectly.”
All publications in the field of Adaptive edge AI systems for industrial application

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Service for R&D

Development of embedded systems

We develop embedded systems for you as complete solutions consisting of sensors and actuators, signal processing and communications technology as well as open-loop and closed-loop controls.

Core topic

Embedded AI

The numerous existing AI algorithms and methods for high-performance computing are unsuitable for embedded systems. We are researching to optimise AI algorithms and methods so that they can be used on embedded systems.

Core topic

Real-time data processing and communications

New hardware is usually not supported by operating systems for real-time tasks. We are researching which operating system can be implemented in which way for which real-time application and the hardware required there.

Research field

Smart distributed measurement and test systems

Integrated sensor ICs are the heart of sensor and measurement systems like wireless sensors, stationary or handheld devices. We are researching solutions for ever more powerful sensors with more intrinsic intelligence and task allocation in the network.